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大型工业CT流水线图像重建 被引量:1

Study on pipelining image reconstruction in large industrial CT
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摘要 大型工业CT中,采用等角度扇形束扫描,为达到高分辨率,需要在每个投影下微动探测器,多次采集数据。为了节省成像时间,设想让重建计算和数据采集同时进行,称为流水线图像重建法。研究了这种流水线图像重建方法,并与传统方法的效率进行了比较。 In the large industrial computerized tomography, we place the detectors in a circle with equal angle between eath other. But the detectors can not be made so small to fit our need, so we have to make them angle little after each collection so as to detect more radial. For economizing time, we project to calculate the partial projections just after they were detected and before all projections were detected. Then our task in this paper is to reconstruct the image using convolution algorithms for divergent beams synchronous with detecting. For this we will first simulate the projections, then reconstruct them group by group, and in the end, compare it with the traditional reconstruction algorithms, now we can find that it is much quicker than them.
出处 《核电子学与探测技术》 CAS CSCD 北大核心 2003年第1期50-52,共3页 Nuclear Electronics & Detection Technology
基金 国家自然科学基金资助项目(10135040)
关键词 大型工业CT 图像重建 流水线 large industrial computerized tomography image reconstruction pipeline
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参考文献2

  • 1[1]Yuanmei W, et al. Multicriterion maximum entropy image reconstruction from projection[J]. Transaction on Medical Imaging,1992,11(1):70.
  • 2[2]Yuanmei W, et al. Vector-entropy optimization-based neural-network approach to image reconstruction from projections[J]. Transaction on Neural Networks, 1997, 8(5):1008.

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